Publish research data after project completion? Nowadays, the question is not so much whether but rather where. Because data also feels most comfortable in the right company. A domain-specific repository with similar data and a subject-specific system that corresponds to the standards of its own specialist community and guarantees permanent, standard-compliant storage, provision and processing: This is the optimum for your own research data.
However, this ideal subject repository does not exist for every research data set. There may also be important reasons against storing them outside your own institution.
Since 2019, the library has therefore provided an institutional repository for the publication of research data from the TU Hamburg:
Since 2002 tub.dok has been the Open Access Repository at TU Hamburg. Here you can find freely available publications of members of TUHH in full text. The spectrum includes journal articles, conference contributions, reports and, of course, dissertations and postdoctoral theses written at TUHH.
Update 21.11.17: D-17-200 and D-17-194 contracts until 31.12.2020. Applications until 5.12.17
Hamburg wants Open Science! And we want competent people who work with us on this for the TU Hamburg. Initially for 12 months, but hopefully two more years afterwards.
Deadline for applications is 29.11.2017
With the Hamburg Open Science (HOS) programme, Hamburg is implementing a strategy for the expansion of Open Access and Open Science that has been developed across universities. The University of Hamburg (UHH), the Technical University of Hamburg (TUHH), the Hamburg University of Applied Sciences (HAW) and many other universities are involved. From 2018 onwards, implementation will be carried out jointly in the institutions within the framework of the following four programme lines: Open Access publications, research data management, research information systems and the design of digital cultural change.
The TUHH Open Science (TOS) project group is being set up at the TUHH for research data management and research information system. This is also where the HOS research data management program line is managed.
The targets for 2018 are:
Conception and implementation of a prototype for a research information system based on the open source software DSpace-CRIS.
Conception and implementation of a prototype for an institutional research data repository also based on the open source software DSpace-CRIS.
We are looking for four new research assistants with know-how and a desire for university, open science and the beautiful city of Hamburg with the following focal points:
Teamleitung und Projektsteuerung mit Schwerpunkt Forschungsinformationssystem E14 TV-L
→ Stellenausschreibung D-17-200
Konzeption und Aufbau des Forschungsdatenrepositories E13 TV-L
→ Stellenausschreibung D-17-199
Konzeption und Aufbau Forschungsdateninformationssystem und Forschungsdatenrepository E13 TV-L
→ Stellenausschreibung D-17-198
IT-Konzept, Aufbau und Administration (Rechenzentrum) E13 TV-L
→ Stellenausschreibung D-17-194
Information on Hamburg Open Science
Forschungsergebnisse für alle zugänglich machen: Senat beschließt das Programm Hamburg Open Science. 26. September 2017 14:00 Uhr Pressemitteilung
Data Sharing and Management Snafu in 3 Short Acts. NYU Health Sciences Library
TUHH is starting plan to set up its own institutional repository for research data. A topic that will accompany us – alongside all technology and workflows – is to make all data FAIR – Findable, Accessible, Interoperable, Reusable.
FAIR Data Principles
One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. A FAIR Data Publishing Group of FORCE11 has been discussing FAIR – a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable.
To be Findable:
F1. (meta)data are assigned a globally unique and eternally persistent identifier.
F2. data are described with rich metadata.
F3. (meta)data are registered or indexed in a searchable resource.
F4. metadata specify the data identifier.
To be Accessible:
A1 (meta)data are retrievable by their identifier using a standardized communications protocol.
A1.1 the protocol is open, free, and universally implementable.
A1.2 the protocol allows for an authentication and authorization procedure, where necessary.
A2 metadata are accessible, even when the data are no longer available.
To be Interoperable:
I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles.
I3. (meta)data include qualified references to other (meta)data.
To be Re-usable:
R1. meta(data) have a plurality of accurate and relevant attributes.
R1.1. (meta)data are released with a clear and accessible data usage license.
R1.2. (meta)data are associated with their provenance.
R1.3. (meta)data meet domain-relevant community standards.
Wilkinson, Mark D.; Dumontier, Michel; Aalbersberg, IJsbrand Jan; Appleton, Gabrielle; Axton, Myles; Baak, Arie et al. (2016): The FAIR Guiding Principles for scientific data management and stewardship. In: Scientific Data 3, 160018 EP -. DOI: 10.1038/sdata.2016.18.
The TUHH as an university of technology has the mission to develop technology for people. The university TUHH offers research and education at a high academic level. For the future development and competitiveness in the international context, the TUHH must participate in the discussion on Open Access for research results and research data. Open Access can result in a higher quality of scientific results, better visibility and greater discussion within the scientific community and a better international cooperation. Funding sources as DFG and EU already require open access availability of research results. Hamburg has just launched a prestudy for Hamburg Open Archive, the platform for Open Access in Hamburg.
TUHH adopted the Deutsche Forschungsgemeinschaft (DFG) recommendations to ensure “Good Scientific Practice” and also the DFG “Guidelines for handling research data“. In this context, we would like to collect requirements and needs for research data management at TUHH. Research data in this survey is defined as raw data (measured data, source code, simulation results, image data, etc.) on which research results and publications are based.
The TUHH survey about Research Data on behalf of the Präsidium of TUHH is based on the already carried out surveys of the Humboldt University (2013) and the Technische Universität Darmstadt (2015). Participation is voluntary and anonymously possible in German and English. The Scientific Staff and the DV-Beauftragte have been invited by mail to participate in the survey. In case we missed anyone interested at TUHH, please send a short mail to the library. Thank you so much!
